no code implementations • 23 Jul 2023 • Shicong Liu, Zhen Gao, Gaojie Chen, Yu Su, Lu Peng
The Space-Air-Ground-Sea integrated network calls for more robust and secure transmission techniques against jamming.
no code implementations • 6 Jul 2023 • Zhen Gao, Shicong Liu, Yu Su, Zhongxiang Li, Dezhi Zheng
Moreover, based on the acquired channel semantic, we further propose a knowledge-driven deep-unfolding multi-user beamformer, which is capable of achieving good spectral efficiency with robustness to imperfect CSI in outdoor XR scenarios.
no code implementations • 18 Jun 2021 • Shicong Liu, Zhen Gao, Yongpeng Wu, Derrick Wing Kwan Ng, Xiqi Gao, Kai-Kit Wong, Symeon Chatzinotas, Bjorn Ottersten
The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises.
2 code implementations • 3 Jun 2020 • Shicong Liu, Zhen Gao, Jun Zhang, Marco Di Renzo, Mohamed-Slim Alouini
Integrating large intelligent reflecting surfaces (IRS) into millimeter-wave (mmWave) massive multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and throughput.
no code implementations • 30 Oct 2016 • Shicong Liu, Hongtao Lu
However, how to learn deep representations that strongly preserve similarities between data pairs and can be accurately quantized via vector quantization remains a challenging task.
no code implementations • 17 Sep 2015 • Shicong Liu, Junru Shao, Hongtao Lu
We propose a novel distance to calculate distance between high dimensional vector pairs, utilizing vector quantization generated encodings.
no code implementations • 17 Sep 2015 • Shicong Liu, Hongtao Lu, Junru Shao
In this paper, we propose an improved residual vector quantization (IRVQ) method, our IRVQ learns codebook with a hybrid method of subspace clustering and warm-started k-means on each stage to prevent performance gain from dropping, and uses a multi-path encoding scheme to encode a vector with lower distortion.
no code implementations • 17 Sep 2015 • Shicong Liu, Junru Shao, Hongtao Lu
Further, we propose Aggregating-Tree (A-Tree), a non-exhaustive search method using HCLAE to perform efficient ANN-Search.
no code implementations • 6 Jul 2015 • Shicong Liu, Hongtao Lu
Jointly used with residual vector quantization, our optimized dictionaries lead to a better approximate nearest neighbor search performance compared to the state-of-the-art methods.